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University of Surrey: Artificial Intelligence with Industrial Practice
| Institution | University of Surrey View institution profile |
|---|---|
| Department | FEPS - Faculty of Engineering and Physical Sciences |
| Web | www.surrey.ac.uk |
| admissions@surrey.ac.uk | |
| Telephone | +44(0)1483 682222 |
| Study type | Taught |
Summary
Why choose this course? Our Artificial Intelligence with Industrial Practice MSc stands apart as the sole programme of its kind in the UK. It draws on the profound knowledge of our pan-University Institute for People-Centred AI (PAI) and the Centre for Vision, Speech and Signal Processing (CVSSP), both top-ranked for AI research: No. 1 in the UK for computer vision. The programme is designed to provide students with a comprehensive understanding of artificial intelligence (AI) by incorporating a wide range of core topics. On this programme, you will study:
-Technical subjects, such as computer vision, natural language processing and audio analysis, to develop strong technical expertise -Application-specific areas, such as health and the metaverse, to ensure you develop specialised knowledge in emerging AI fields -Regulatory and legal aspects of AI, to equip you with a critical understanding of the ethical and legal considerations that will shape the future of AI.
The growth of AI is rapidly changing the way we live, work and learn. However, there’s a real shortage of AI talent worldwide, both to serve the industry and to drive future research.
This course will enable you to capitalise on the wide spectrum of career opportunities provided by AI, preparing you to work in industry, take an entrepreneurial route or pursue further research.
You'll also have the opportunity to undertake a postgraduate placement year, allowing you to gain crucial workplace experience. We’ll support you in finding a placement with a company most suited to your career goals.
What you will study This full-time MSc will teach you about fundamental AI concepts and the universal machine learning tools essential for any AI job role, as well as specific practical and research skills in key AI topics and applications. You’ll gain experience with cutting-edge tools such as deep neural networks (DNN), recurrent neural networks (RNN) and deep reinforcement learning (deep RL) through regular hands-on exercises and practical labs.
The course consists of technical modules delivered by our School of Computer Science and Electronic Engineering, along with the opportunity to take related modules in business or law and ethics. You’ll also undertake a year-long project on an AI topic that interests you. You’ll be supervised throughout the project by an academic specialising in your chosen subject area.
MSc
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A minimum of a 2:2 UK honours degree in communication engineering, computer engineering, computer science, electronic and computer engineering, electronic engineering, information and communication technologies, information systems engineering, maths, physics, telecommunication engineering, or a recognised equivalent international qualification. We'll also consider relevant work experience if you don't meet these requirements. English language requirements |
| Location | Stag Hill Stag Hill Guildford GU2 7XH |
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A minimum of a 2:2 UK honours degree in communication engineering, computer engineering, computer science, electronic and computer engineering, electronic engineering, information and communication technologies, information systems engineering, maths, physics, telecommunication engineering, or a recognised equivalent international qualification. We'll also consider relevant work experience if you don't meet these requirements. English language requirements |
| Location | Stag Hill Stag Hill Guildford GU2 7XH |
Welcome to the University of Surrey, a global community with over 153,000 alumni in 185 countries across the globe.
We’re based in the popular town of Guildford, recently voted the safest student town in England (CUG 2025), just 35 minutes from central London by train. Our beautiful, green campus is home to outstanding learning facilities in every faculty, plus a comprehensive range of student services, a wide choice of accommodation and dedicated support for international students, to help you make the most of university life.
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